Driver Modeling for Heavy Hybrid Vehicle Energy Management
The paper presents an approach for modeling and predicting the user intentions with application for optimization of the hybrid electrical vehicle. An auto-regressive moving-average model isdesigned to model and predict the driver behavior. The resulting model is converted to a Markov-chain model and...
Saved in:
| Published in: | 2014 IEEE Vehicle Power and Propulsion Conference (VPPC) pp. 1 - 6 |
|---|---|
| Main Authors: | , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01-10-2014
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | The paper presents an approach for modeling and predicting the user intentions with application for optimization of the hybrid electrical vehicle. An auto-regressive moving-average model isdesigned to model and predict the driver behavior. The resulting model is converted to a Markov-chain model and used with stochastic dynamic programming, which optimizes the gear-shifting and the power split between the internal combustion engine and the electrical storage of a hybrid electrical vehicle. Verification of resulting energy efficiency is performed using real-life driving data from a heavy-duty industrial vehicle (forklift). |
|---|---|
| AbstractList | The paper presents an approach for modeling and predicting the user intentions with application for optimization of the hybrid electrical vehicle. An auto-regressive moving-average model isdesigned to model and predict the driver behavior. The resulting model is converted to a Markov-chain model and used with stochastic dynamic programming, which optimizes the gear-shifting and the power split between the internal combustion engine and the electrical storage of a hybrid electrical vehicle. Verification of resulting energy efficiency is performed using real-life driving data from a heavy-duty industrial vehicle (forklift). |
| Author | Stoev, Julian Vandenplas, Steve Hostens, Erik |
| Author_xml | – sequence: 1 givenname: Julian surname: Stoev fullname: Stoev, Julian email: julian.stoev@fmtc.be organization: Flanders' Mechatron. Technol. Centre, Leuven, Belgium – sequence: 2 givenname: Erik surname: Hostens fullname: Hostens, Erik email: erik.hostens@fmtc.be organization: Flanders' Mechatron. Technol. Centre, Leuven, Belgium – sequence: 3 givenname: Steve surname: Vandenplas fullname: Vandenplas, Steve email: steve.vandenplas@fmtc.be organization: Flanders' Mechatron. Technol. Centre, Leuven, Belgium |
| BookMark | eNotj91KwzAYQCNMcM4-gHiTF2jNlzR_3sncrLDhLnS3I22-1EjXSjoGfXsFd27O3YFzS2b90CMh98AKAGYf97vdsuAMykIzppmEK5JZbaDU1iptRDkjc7DC5EZLdUOycfxmjIEynBs1J08vKZ4x0e3gsYt9S8OQaIXuPNFqqlP0dI9fsemQrnpM7US3rnctHrE_3ZHr4LoRs4sX5HO9-lhW-eb99W35vMkjaHnKuZNeB-GVdxbAcx6cChKZKhVrPHqLpRfCIMjQ2MBE7f7wjRch1FbxWizIw383IuLhJ8WjS9Phcit-AXFaStU |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/VPPC.2014.7007051 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEL IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library Online url: http://ieeexplore.ieee.org/Xplore/DynWel.jsp sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISBN | 9781479967834 1479967831 |
| EndPage | 6 |
| ExternalDocumentID | 7007051 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IF 6IK 6IL 6IN AAJGR ABLEC ADZIZ ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ CBEJK CHZPO IEGSK IPLJI OCL RIE RIL RNS |
| ID | FETCH-LOGICAL-i175t-2a5d7f3d6da911d22fa6f5e06460cded9e4d338e15fc9f03baaaadcd3ffb962b3 |
| IEDL.DBID | RIE |
| ISSN | 1938-8756 |
| IngestDate | Wed Jun 26 19:20:41 EDT 2024 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i175t-2a5d7f3d6da911d22fa6f5e06460cded9e4d338e15fc9f03baaaadcd3ffb962b3 |
| PageCount | 6 |
| ParticipantIDs | ieee_primary_7007051 |
| PublicationCentury | 2000 |
| PublicationDate | 2014-Oct. |
| PublicationDateYYYYMMDD | 2014-10-01 |
| PublicationDate_xml | – month: 10 year: 2014 text: 2014-Oct. |
| PublicationDecade | 2010 |
| PublicationTitle | 2014 IEEE Vehicle Power and Propulsion Conference (VPPC) |
| PublicationTitleAbbrev | VPPC |
| PublicationYear | 2014 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| SSID | ssj0001682286 |
| Score | 1.5908561 |
| Snippet | The paper presents an approach for modeling and predicting the user intentions with application for optimization of the hybrid electrical vehicle. An... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 1 |
| SubjectTerms | Data models Dynamic programming Hybrid electric vehicles Predictive models Stochastic processes Training |
| Title | Driver Modeling for Heavy Hybrid Vehicle Energy Management |
| URI | https://ieeexplore.ieee.org/document/7007051 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV09T8MwED3RTrDw0SK-5YGRtEmcOA1rmyoTqgRUbJVjnwVLi0pbqf-eOydqQWIhU5Qhii6235393j2Ae5PQoHWRDkKMZJAopHWQcDnQWhrtuAWd91gqn7Ont8Go4DY5DzstDCJ68hn2-Naf5duFWfNWWT_j5jSsl25l-aDWau33UxRBnTd2pJRkQJM8Vc0hZhTm_elkMmQeV9Jr3vHLTMVjyfj4f19xAt29KE9MdnBzCgc4P4OjH_0EO_A4WjLNQrDBGcvMBWWkokS92Ypyy9IsMcV3Hiii8JI_sSe_dOF1XLwMy6AxRwg-CPFXQaxTmzlpldW0Xtk4dlq5FCnDUKGxaHNMLJWfGKXO5C6UlabLGiudq3IVV_Ic2vPFHC9ApGEVpxJDVFRcINUfBFoJOjRZRulinFxCh6Mw-6z7X8yaAFz9_fgaDjnQNeHtBtqr5RpvofVl13f-j30DTXWUeA |
| link.rule.ids | 310,311,782,786,791,792,798,27934,54767 |
| linkProvider | IEEE |
| linkToHtml | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV09T8MwELWgDMDCR4v4xgMjaZM4dhrWfiiIUlWiVGyVY58FS4tKi9R_z50btSCxkCnKkEQXx-_Ofu8eY7cmwUHrIh2EEIkgUYDzIOJyoLUw2lELOu-xlD-n_ddmu0Ntcu7WWhgA8OQzqNOp38u3U7OgpbJGSs1pSC-9I_ER6UqttVlRUQh23toRk5Im_uZSlduYUZg1RoNBi5hcSb28yy87FY8m3YP_vcchq21keXywBpwjtgWTY7b_o6Ngld23Z0S04GRxRkJzjjkpz0F_LXm-JHEWH8EbDRXe8aI_vqG_1NhLtzNs5UFpjxC8I-bPg1hLmzphldU4Y9k4dlo5CZhjqNBYsBkkFgtQiKQzmQtFofGwxgrnikzFhThhlcl0AqeMy7CIpYAQFJYXgBUIwlYCDkyaYsIYJ2esSlEYf6w6YIzLAJz_ffmG7ebDp96499B_vGB7FPQV_e2SVeazBVyx7U-7uPZf7xtTL5fJ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2014+IEEE+Vehicle+Power+and+Propulsion+Conference+%28VPPC%29&rft.atitle=Driver+Modeling+for+Heavy+Hybrid+Vehicle+Energy+Management&rft.au=Stoev%2C+Julian&rft.au=Hostens%2C+Erik&rft.au=Vandenplas%2C+Steve&rft.date=2014-10-01&rft.pub=IEEE&rft.issn=1938-8756&rft.spage=1&rft.epage=6&rft_id=info:doi/10.1109%2FVPPC.2014.7007051&rft.externalDocID=7007051 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1938-8756&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1938-8756&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1938-8756&client=summon |